816 results about "Data optimization" patented technology

A data optimization engine disposed inline with a first communication channel and a second communication channel. The data optimization engine comprises a transmit interface circuit configured to receive a first data stream from the first communication channel and to obtain a first data file from the first data stream. The data optimization engine further includes an optimization processor coupled to the transmit interface circuit for receiving a second data file from the transmit interface circuit. The second data file represents the first data file after the first data file has been processed by the transmit interface circuit into a format suitable for optimization by the optimization processor. The optimization processor performs one of a compression and an encryption on the second data file, thereby obtaining all optimized data file. In one embodiment, the first data file is a Fiber Channel data frame. In another embodiment, the first data file is encoded using 10-bit encoding, the format suitable for optimization by the optimization processor is an 8-bit encoding protocol.

A system optimizes two or more stream processing programs based upon the data exchanged between the stream processing programs. The system alternately processes each stream processing program to identify and remove dead program code, thereby improving execution performance. Dead program code is identified by propagating constants received as inputs from other stream processing programs and by analyzing a first stream processing program and determining the outputs of a second stream processing program that are unused by the first stream processing program. The system may perform multiple iterations of this optimization is previous iterations introduce additional constants used as inputs to a stream processing program. Following optimization of the stream processing programs, the optimized stream processing programs are compiled to a format adapted to be executed by a stream processing system.

The present invention is a method, apparatus and program storage device for providing data path optimization for redundant data paths. The present invention provides data path optimization that increases the data access throughput and availability to a device by using multiple paths when a modification event occurs.

Devices and methods enable optimizing a signal of interest based on identifying and analyzing the signal of interest based on radio frequency energy measurements. Signal data is compared with stored data to identify the signal of interest. Signal degradation data is calculated based on noise figure parameters, hardware parameters and environment parameters. The signal of interest is optimized based on the signal degradation data. Terrain data may also be used for optimizing the signal of interest.

A method for optimizing an industrial process using human performance data is disclosed. The method includes collecting human performance data from at least one sensor element associated with at least one human and verifying the human performance data collected. The method further includes analyzing the human performance data collected for efficiency. The method further includes generating an efficiency report pertaining to efficiency of performance of the human in the industrial process.

A data optimization engine for deoptimizing selected frames of a first stream of data, comprising a receive interface circuit coupled to an optimization processor. The receive interface circuit is configured for receiving the first stream of data. The receive interface circuit includes a traffic controller circuit for separating frames in the first stream of data into a first deoptimizable frame and a first non-deoptimizable frame, and a deoptimization front-end circuit coupled to the traffic controller circuit to receive at least a first portion of the first deoptimizable frame. The deoptimization front-end circuit includes a protocol conversion circuit configured to convert data in the first portion of the first deoptimizable frame from a first protocol to a second protocol suitable for processing by the optimization processor, the first protocol specifies a first word length, the second protocol specifies a second word length different from the first word length, wherein the optimization processor is configured to deoptimize the first portion of the first deoptimizable frame by performing at least one of decompression and decryption on the first portion of the first deoptimizable frame.

Data layout optimization arranges data members within memory to enhance software performance. Profiling data is consulted to determine how to group data members for an object class into groups. One technique groups the data members based on how frequently the data members are referenced in memory. Another technique groups the data members based on their affinities for one another in time as determined by observing when references to the data members take place. A variety of options when collecting the profiling data and grouping the data members is supported. The data member grouping is recorded in metadata associated with a definition of the object class. At runtime, a class loader places the data members of an object in memory according to the metadata. Data members of different groups can be placed in separately-loadable units of memory in the memory system. Subsequently, when the data members are referenced in memory, more frequently referenced data members, including those that tend to be referenced at times close to each other, reside at neighboring locations in the memory system.

Systems and methods provided herein output an operational advisory based upon a plurality of models derived from a plurality of data, in which the plurality of models comprise at least one of a plant transfer function, a degradation contributor model, or a plant level cost model, and in which the plurality of data is derived from at least one of current plant data, historical plant data, business data, environmental data, component data, degradation contribution data, an optimization goal, or a combination thereof.

The invention discloses a data transmission method, device and system. The method comprises that an identifier and the priority of a target process are obtained; a data packet which is transmitted in the target process is obtained; the DSCP value of an IP header structure in the data packet is obtained and adjusted according to the priority of the target process; and the adjusted data packet is sent to a router so that the router optimizes the data packet according to the processing priority of the received data packet. According to the method, the processing priority of the data packet is adjusted by modifying the DSCP value of the IP header structure of the data packet, the router implements optimization according to the adjusted processing priority of the data packet, network data is optimized, packet loss processing is not needed in data packet upload and download in unit time, the data packets are prevented from loss, the present network stability and broadband utilization rate are improved, and the data optimization effect is improved.

Provided is a method for automatic caching construction of massive timing sequence remote-sensing images in a cloud environment. The method for automatic caching construction of the massive timing sequence remote-sensing images in the cloud environment comprises the steps of carrying out data optimization partition on sub-scene data which are received newly in a fixed time interval aiming at imaging caching construction characteristics in the Hadoop cloud environment, carrying out single-scene or multi-scene data caching calculation, wherein a scene is of a data-block particle size, influencing task scheduling of caching slices through optimizing placement of data blocks in the cloud environment, and thus achieving an automatic caching construction process through a plurality of continuous small-batch MapReduce tasks in time in a condition that time sequence images continuously reach. The method for automatic caching construction of the massive timing sequence remote-sensing images in the cloud environment exerts the characteristic of data localization calculation of MapReduce as far as possible through a plurality of optimizing strategies, can carry out rapid construction and update of various caching services of time sequence reaching remote-sensing data in a short cycle by using scalable cloud computing capacity provided by Hadoop, is applicable to remote-sensing images with different space temporal resolutions and different data sources, and has good universality.

The invention relates to the field of three-dimensional geographic information systems, in particular to a method for rapidly displaying and browsing massive models of a three-dimensional geographic information system in a three-dimensional scene at high efficiency by utilizing SkylineTerraSuite series software which is mainly applied in more than 75,000 three-dimensional models in Shanghai. In the method, a browser/server B/S system architecture consists of at least three servers and a three-dimensional scene browsing client, and massive three-dimensional models are rapidly displayed and browsed in the three-dimensional scene by using technologies in three-dimensional data optimization, model management, model data network transmission and the like. By the method, related technical problems of model format optimization methods, massive model management methods, three-dimensional model network transmission methods and the like are mainly solved. The invention has the advantages that: the scene display speed is increased, the efficiency of model release, loading, query, addition, modification and the like is improved, the displaying and browsing speed of the models is increased, and the reading speed of data and the displaying speed of the models are increased.

The invention relates to an indoor localization method based on clustering algorithm analytical data optimization, which is used for carrying out accurate localization on an unknown node in a complex index environment. The indoor localization method comprises the steps of: executing an RSSI (Received Signal Strength Indicator) signal processing optimization strategy, i.e., optimizing an RSSI value by using a clustering analysis Gaussian hybrid filtering model so as to eliminate the problems of dispersed intersection and serious jitter of the RSSI value, which exist due to factors of a multipath effect, a barrier and the like, and obtain one more reliable and reasonable RSSI value; adopting a fitting RSSI distance measurement model, i.e., according to an RSSI-distance conversion curve, carrying out fitting of the curve by adopting a least square method so as to obtain a logarithm path loss model suitable for a current environment; and then estimating out position information of the unknown node by using a weighted centroid localization algorithm. According to the indoor localization method disclosed by the invention, by an optimal RSSI distance measurement algorithm, accuracy of localization and distance measurement is improved, so that adaptability and localization accuracy of the localization algorithm are improved; and the indoor localization method is suitable to apply and popularize in the complex indoor environment.

The invention provides a quick topographic map making method based on database driving. Topographic maps of corresponding plotting scales are quickly made by a built topographic database, and a map making database and the topographic database are subjected to integrated storage, integrated management and synchronous updating. The quick topographic map making method based on database driving comprises the following steps of: (1) preprocessing map making data at a management end, namely building the topographic database, expanding the map making function of the topographic database, deriving map making data, generating framing map making sub databases, and establishing framing map making engineering; (2) generating the map making data at a production end, namely optimizing and adjusting the map making data, editing map making, trimming the contour of a map, edging the data and outputting the map; and (3) putting the topographic map making data into the database at the management end, namely concentratively performing uniform data storage processing on the topographic map making data subjected to the map making production steps such as map making editing, inspection and accepting, and forming the final topography and map-making integrated database.

Methods are disclosed for modeling changes in capacity and the state of charge vs. open circuit voltage (SOC-OCV) curve for a battery cell as it ages. During battery pack charging, voltage and current data are gathered for a battery cell. In one method, using multiple data points taken during the plug-in charge event, data optimization is used to determine values for two parameters which define a scaling and a shifting of the SOC-OCV curve from its original shape at the cell's beginning of life to its shape in the cell's current condition. In a second method, only initial and final voltages and current throughput data are needed to determine the values of the two parameters. With the scaling and shifting parameters calculated, the cell's updated capacity and updated SOC-OCV curve can be determined. The methods can also be applied to data taken during a discharge event.

The invention relates to an image three-dimensional matching method and a device thereof. The invention is characterized in that the invention comprises the following steps: a graphic identifier is adopted to extract feature points of a detection image one and a candidate matching image two; a multi-dimensional vector identifier makes a multi-parameter description to the feature points of the feature list to acquire the multi-dimensional vectors described by the parameters of the feature points; a data optimizer reduces the multi-dimensional vector described by the parameters of each feature point of the remarkable feature point list of the image one, calculates the similarity of each feature point of the feature point list of the reduced image one and the feature point of the feature point list of the image two to acquire the candidate matching point set of the image one; a classifier is used to classify the comparison result to judge the matching result of the image one and the image two. The invention has higher matching accuracy and efficiency to the three-dimensional image matching.

A method for producing a key (50), wherein a data set (40) of a key is obtained by recording the surface of the key (10) and subsequently performing a data optimization (55), or from data of a data collection (46), in order to produce the key (50) from a semi-finished product clamped in a machine by a computer-controlled production method (9), wherein at least two different locking features are introduced into the semi-finished product.

The invention discloses a method for full-dimension representation and analysis of dense reservoir pore throats. The method comprises the following steps of 1, data optimization: (a) preparing a dense oil rock sample; (b) using a high-pressure mercury injection apparatus Pore Master to perform mercury injection experiment on a rock sample; (c) using an automatic isothermal adsorption instrument to perform low-temperature nitrogen experiment at the temperature of 77.35K and relative pressure of 0.01-1MPa; (d) according to adsorption type pore throat distribution frequency, accumulating a distribution frequency chart, and performing interpolating on the accumulated distribution frequency chart; (e) connecting the mercury injection type pore throat distribution frequency and the converted adsorption type pore throat distribution frequency at 25nm; 2, data check. The representation method has the advantages that the steps are simple; the pore throat distribution rules of different reservoirs can be analyzed, and the more accurate and deeper evaluation is performed on different dimensions of space microstructures by crossing multiple orders of magnitude.

A method and system for optimizing data includes determining whether the data is comprised of initializing zeroes, generating an empty block-when it is determined that the data is comprised of initializing zeroes, restoring the data comprised of initializing zeroes from the generated empty block, and loading the restored data comprised of initializing zeroes to memory. The method and system are used in DSP firmware.

The invention belongs to the technical field of edge cloud computing systems, and discloses a distributed edge cloud system architecture. The architecture comprises an edge node, an edge computing intelligent brain platform layer and an edge security boundary layer, wherein the edge node communicates with the edge computing intelligent brain platform layer through an edge private network; an intelligent brain platform of the edge computing intelligent brain platform layer is in butt joint with a plurality of different edge nodes to realize distributed deployment; data are acquired through external terminal equipment accessed by the edge node and uploading the data to the edge node for processing; the edge computing intelligent brain platform layer communicates with the center cloud or theindustry cloud through the edge security boundary layer; the edge security boundary layer serves as an interface for communication between the edge cloud system and the center cloud or the industry cloud and is used for guaranteeing the communication security between the edge cloud and the center cloud or the industry cloud; the system architecture has the characteristics of low time delay and high security, and meets the requirements of agile connection, real-time service, data optimization, intelligent application, security and privacy protection.

One embodiment of the present invention provides a system for privacy-preserving sharing of data for secure collaboration. During operation, the system obtains a first set of data describing network events associated with one or more network addresses. Next, the system negotiates with a potential partner to determine a metric for deciding whether to share data. The potential partner is associated with a second set of data describing network events. The system then computes a value for the metric in a privacy-preserving way, based on the first set of data and the second set of data. Subsequently, the system determines whether the metric value exceeds a predetermined threshold, and, responsive to determining that the metric value exceeds the predetermined threshold, the system shares the first set of data with the potential partner, while controlling how the data should be shared to optimize benefits and risks of collaboration.

Techniques and mechanisms provide a storage optimization manager. Data may be optimized and maintained on various nodes in a cluster. Particular nodes may be overburdened while other nodes remain relatively unused. Techniques are provided to efficiently optimize data onto nodes to enhance operational efficiency. Data access requests for optimized data are monitored and managed to allow for intelligent maintenance of optimized data.

An intelligent static traffic management system comprises a first parking information collection unit, a traffic information management platform, a first monitoring unit and an access unit, wherein the traffic information management platform comprises an integrated management platform; the integrated management platform comprises a parking area basic information management unit, a parking area record management unit, a parking space early warning unit, a parking information release and data collection unit and a parking data optimization analysis unit; the parking area basic information management unit is used for recording parking area basic information; the parking area record management unit is used for recording parking area record information; the parking space early warning unit is used for analyzing the real-time parking condition of the parking area and giving early warning information when the amount of parking is close to saturation; the parking information release and data collection unit is used for collecting the working state of a parking device and displaying parking service information in real time; and the parking data optimization analysis unit is used for analyzing the utilization condition of a parking space and releasing a parking index.